Matplotlib Tutorial

import matplotlib.pyplot as plt
import plotly
plotly.offline.init_notebook_mode()

fig, ax = plt.subplots()  # Create a figure containing a single axes.
ax.plot([1, 2, 3, 4,5], [1, 4, 10, 3,-15])  # Plot some data on the axes.

[<matplotlib.lines.Line2D at 0x1d6e2234f50>]

import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery-nogrid')

# make data with uneven sampling in x
x = [-3, -2, -1.6, -1.2, -.8, -.5, -.2, .1, .3, .5, .8, 1.1, 1.5, 1.9, 2.3, 3]
X, Y = np.meshgrid(x, np.linspace(-3, 3, 128))
Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)

# plot
fig, ax = plt.subplots()

ax.pcolormesh(X, Y, Z, vmin=-0.5, vmax=1.0)

plt.show()

import plotly.express as px
df = px.data.election()
fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", hover_name="district",
    color="winner", size="total", size_max=15,
    color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} )
fig.show()

# import plotly.express as px
# df = px.data.iris()
# fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
#                  size='petal_length', hover_data=['petal_width'])
# fig.show()